Bearing fault detection based on hybrid ensemble detector and empirical mode decomposition

► We employed EMD for feature extraction from vibration signals of bearings. ► The frequency content of the IMFs can provide valuable information for fault detection. ► Simple anomaly detectors combined in a hybrid scheme can perfectly detect anomalies. ► The ensemble scheme compensates for the inefficiencies of the individual detectors.